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Abstract
In this paper, we present a simple proof of the coerciveness of first-order system least-squares methods for general (possibly indefinite) second-order linear elliptic PDEs under a minimal uniqueness assumption. The proof is inspired by Ku's proof [36] based on the a priori estimate of the PDE. For general linear second-order elliptic PDEs, the uniqueness, existence, and well-posedness are equivalent due to the compactness of the operator and Fredholm alternative. Thus only a minimal uniqueness assumption is assumed: the homogeneous equation has a unique zero solution. The proof presented in the paper is a straightforward and short proof using the inf-sup stability of the standard variational formulation. The proof can potentially be applied to other equations or settings once having the standard formulation's stability. As an application, we also discuss least-squares finite element methods for problems with a nonsingular H−1 right-hand side.
| Original language | English |
|---|---|
| Pages (from-to) | 98-104 |
| Journal | Computers and Mathematics with Applications |
| Volume | 130 |
| Online published | 1 Dec 2022 |
| DOIs | |
| Publication status | Published - 15 Jan 2023 |
Funding
This work was supported in part by Research Grants Council of the Hong Kong SAR, China under the GRF Grant Project No. CityU 11302519 and CityU 11305319.
Research Keywords
- Coerciveness
- General second-order elliptic PDEs
- Least-squares methods
- LSFEM
Publisher's Copyright Statement
- COPYRIGHT TERMS OF DEPOSITED POSTPRINT FILE: © 2022. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/.
RGC Funding Information
- RGC-funded
Fingerprint
Dive into the research topics of 'A simple proof of coerciveness of first-order system least-squares methods for general second-order elliptic PDEs'. Together they form a unique fingerprint.Projects
- 2 Finished
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GRF: Exact-Residual Certified Reduced Basis Methods Based on Least-Squares Variational Principles
ZHANG, S. (Principal Investigator / Project Coordinator)
1/11/19 → 9/04/24
Project: Research
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GRF: Efficient and Accurate FEMs and Optimal Error Analysis for Several Nonlinear and Strongly Coupled Systems
ZHANG, S. (Principal Investigator / Project Coordinator) & Sun, W. (Co-Investigator)
1/07/19 → 20/12/23
Project: Research